54 research outputs found

    Domain-specific Sentiment Dictionary Construction for Sentiment Classification

    Get PDF
    Sentiment dictionaries are commonly used to solve the problem of sentiment classification for customer reviews. The number of sentiment words in the generalized dictionaries such as SentiWordNet is limited and lack of many sentiment words especially domain-specific sentiment words. Different domains have different sentiment words and the sentiment of a word depends on the domain in which it is used. In this paper, an approach based on Point-wise Mutual Information (PMI) is proposed to construct a domain-specific sentiment dictionary effectively and automatically. The proposed system is evaluated on three diverse datasets from different domains by using 10-fold cross validation. Accordingly to the experimental results, the goodness of the extracted dictionary is relatively high and significantly improves the performance of sentiment classification. The experimental results show that the extracted domain-specific dictionary outperforms the generalized dictionary, SentiWordNet. The proposed method learns the domain-specific sentiment words efficiently and it is domain adaptable

    Domain-Specific Sentiment Lexicon for Classification

    Get PDF
    Nowadays people express their opinions about products, government policies, schemes and programs over social media sites using web or mobile. At the present time, in our country, government changes policies in every sector and people follow with the eyes or the mind on these policies and express their opinion by writing comments on social media especially using Facebook news media pages. Therefore, our research group intends to do sentiment analysis on new articles. Domain-specific sentiment lexicon has played an important role in opinion mining system. Due to the ubiquitous domain diversity and absence of domain-specific prior knowledge, construction of domain-specific lexicon has become a challenging research topic in recent year. In this paper, lexicon construction for sentiment analysis is described. In this work, there are two main steps: (1) pre-processing on raw data comments that are extracted from Facebook news media pages and (2) constructing lexicon for coming classification work. The word correlation and chi-square statistic are applied to construct lexicon as desired. Experimental results on comments datasets demonstrate that proposed approach is suitable for construction the domain-specific lexicon

    Myanmar traditional medicine formulations and their antioxidant, antiglycation and alpha-glucosidase inhibitory activities: Potentials for antidiabetes complications

    Get PDF
    Myanmar Traditional Medicine (MTM) has been used since ancient times to treat life-threatening diseases like diabetes. In this study, various in vitro assays were used to prove that four MTM formulations were effective at treating diabetes. Antioxidant activities were determined using in vitro DPPH, nitric oxide (NO), and superoxide (SO) radical scavenging assays. The Folin-Ciocalteu method was used to quantify the total phenolic content, while the BSA-fluorescent antiglycation and α-glucosidase inhibitory assays were utilized to determine the antidiabetic activity of MTMs. Among the tested samples, MTM3 showed the best activities for almost all the biological assays tested in this experiment with the % inhibition of 82.89 ± 1.64 for NO and 65.02 ± 2.82 for SO radical scavenging activity, 92.12 ± 1.18 for α-glucosidase inhibitory activity and IC50 of 180.29 ± 1.6 µg/ml for the antiglycation activity. It also possessed the highest total phenolic content of 149.41 ± 3.7 mg GAE/g of extract/l among the tested samples. Therefore, the findings suggested that MTM could help diabetic patients improve their quality of life through antioxidant activity against several free radicals and their antiglycation and α-glucosidase inhibitory characteristics

    Expression of RsMYB1 in chrysanthemum regulates key anthocyanin biosynthetic genes

    Get PDF
    Background: Several MYB genes belonging to R2R3 MYB transcription factors have been used in several plant species to enhance anthocyanin production, and have shown various expression or regulation patterns. This study focused on the effect of ectopic expression of an RsMYB1 isolated from radish ( Raphanus sativa ) on chrysanthemum cv. \u2018Shinma\u2019. Results: The RT-PCR results confirmed that RsMYB1 regulated the expression of three key biosynthetic genes (CmF3H, CmDFR, and CmANS) that are responsible for anthocyanin production in transgenic chrysanthemum, but were not detected in the non-transgenic line. In all transgenic plants, higher expression levels of key biosynthetic genes were observed in flowers than in leaves. However, the presence of RsMYB1 in chrysanthemum did not affect any morphological characteristics, such as plant height, leaf shape or size, and number of flowers. Furthermore, no anthocyanin accumulation was visually observed in the leaves and floral tissue of any of the transgenic lines, which was further confirmed by anthocyanin content estimation. Conclusion: To our knowledge, this is the first time the role of an MYB transcription factor in anthocyanin production has been investigated in chrysanthemum

    Synthesis and characterization of zeolite-Y using Ficus exasperata leaf: A preliminary study

    Get PDF
    In this study, Ficus exasperata (Fe) leaf (sand paper leaf) raw sample was characterized using proximate and ultimate analysis and the ash was characterized using X-ray fluorescence (XRF), X-ray diffraction (XRD), Scanning Electron Microscopy (SEM) and Fourier Transform Infrared (FTIR) spectroscopy. XRF analysis showed that Alumina (Al2 O3) and Silica (SiO2) were 6.50% and 67.50%, Energy Dispersive X-ray (EDX) analysis showed high presence of silica (42.40%), alumina (15.00%) and Oxygen (20.80%). FTIR unveiled peaks with zeolite-Y patterns. SEM analysis indicates good surface morphology and hexagonal shaped crystal lattice in comparison with commercial zeolite-Y

    Psychological distress during pandemic Covid-19 among adult general population: Result across 13 countries

    Get PDF
    The COVID-19 pandemics caused an unprecedented mortality, distress, and globally poses a challenge to mental resilience. To our knowledge, this is the first study that aimed to investigate the psychological distress among the adult general population across 13 countries. This cross-sectional study was conducted through online survey by recruiting 7091 respondents. Psychological distress was evaluated with COVID-19 Peritraumatic Distress Index (CPDI). The crude prevalence of psychological distress due to COVID-19 is highest in Vietnam, followed by Egypt, and Bangladesh. Through Multivariate Logistic Regression Analysis, the respondents from Vietnam holds the highest level of distress, while the respondents from Sri Lanka holds the lowest level of distress with reference to Nepal.Female respondents had higher odds of having reported psychological distress, and those with tertiary education were less likely to report psychological distress compared to those with lower level of education. The findings indicate that psychological distress is varies across different countries. Therefore, different countries should continue the surveillance on psychological consequences through the COVID-19 pandemic to monitor the burden and to prepare for the targeted mental health support interventions according to the need. The coping strategies and social support should be provided especially to the lower educational attainment group

    A Study of Burkholderia pseudomallei in the Environment of Farms in Thanlyin and Hmawbi Townships, Myanmar.

    Get PDF
    Melioidosis is a tropical infection, first described in Myanmar but now rarely diagnosed there, which is widespread in Southeast Asia. The infection is predominantly acquired by people and animals through contact with soil or water. This study aimed to detect the causative organism, Burkholderia pseudomallei, in environmental samples from farms in Thanlyin and Hmawbi townships near Yangon, Myanmar. One hundred and twenty soil samples and 12 water samples were collected and processed using standard microbiological methods. Burkholderia species were isolated from 50 of the 120 (42%) soil samples but none of the water samples. Arabinose assimilation was tested to differentiate between B. pseudomallei and the nonpathogenic Burkholderia thailandensis, and seven of 50 isolates (14%) were negative. These were all confirmed as B. pseudomallei by a species-specific multiplex polymerase chain reaction (PCR). This is the first study to detect environmental B. pseudomallei in Myanmar and confirms that melioidosis is still endemic in the Yangon area

    Psychological distress during pandemic Covid-19 among adult general population: Result across 13 countries

    Get PDF
    The COVID-19 pandemics caused an unprecedented mortality, distress, and globally poses a challenge to mental resilience. To our knowledge, this is the first study that aimed to investigate the psychological distress among the adult general population across 13 countries. This cross-sectional study was conducted through online survey by recruiting 7091 respondents. Psychological distress was evaluated with COVID-19 Peritraumatic Distress Index (CPDI). The crude prevalence of psychological distress due to COVID-19 is highest in Vietnam, followed by Egypt, and Bangladesh. Through Multivariate Logistic Regression Analysis, the respondents from Vietnam holds the highest level of distress, while the respondents from Sri Lanka holds the lowest level of distress with reference to Nepal.Female respondents had higher odds of having reported psychological distress, and those with tertiary education were less likely to report psychological distress compared to those with lower level of education. The findings indicate that psychological distress is varies across different countries. Therefore, different countries should continue the surveillance on psychological consequences through the COVID-19 pandemic to monitor the burden and to prepare for the targeted mental health support interventions according to the need. The coping strategies and social support should be provided especially to the lower educational attainment group
    corecore